Publication detail
Mathematical modelling of soot particles in oil
ŽÁK, L. VALIŠ, D. VINTR, Z. HASILOVÁ, K.
English title
Mathematical modelling of soot particles in oil
Type
conference paper
Language
en
Original abstract
Technical systems requirements have been continuously growing, whether it is dependability or safety. The provision of a high level of dependability is possible during the design and development phase due to inherent dependability. A high level of dependability means a well prepared design, quality material, accurately performed production, etc. Even if the inherent dependability is lower, its level might be kept provided there is a quality maintenance system. At present it is rather common not to follow the maintenance scheme of regular fixed intervals (given by operating time or calendar days). In our article we focus on specific oil particles, i.e. soot. It is formed as a by-product during fuel combustion. Soot contaminates the oil and its concentration might indicate that operating conditions are getting worse. In the analysis and modelling we use a deterministic mathematical method – the median regression which allows us to present mathematical properties of the soot particles.
English abstract
Technical systems requirements have been continuously growing, whether it is dependability or safety. The provision of a high level of dependability is possible during the design and development phase due to inherent dependability. A high level of dependability means a well prepared design, quality material, accurately performed production, etc. Even if the inherent dependability is lower, its level might be kept provided there is a quality maintenance system. At present it is rather common not to follow the maintenance scheme of regular fixed intervals (given by operating time or calendar days). In our article we focus on specific oil particles, i.e. soot. It is formed as a by-product during fuel combustion. Soot contaminates the oil and its concentration might indicate that operating conditions are getting worse. In the analysis and modelling we use a deterministic mathematical method – the median regression which allows us to present mathematical properties of the soot particles.
Keywords in English
Field data assessment, oil data, soot, off-line diagnostics, residual life, maintenance optimization
Released
18.06.2017
Publisher
Taylor & Francis Group
Location
London
ISBN
978-1-138-62937-0
Book
Safety and Reliability:Theory and Application, ESREL 2017
Pages from–to
719–726
Pages count
8
BIBTEX
@inproceedings{BUT139299,
author="Libor {Žák} and David {Vališ} and Zdeněk {Vintr} and Kamila {Hasilová},
title="Mathematical modelling of soot particles in oil",
booktitle="Safety and Reliability:Theory and Application, ESREL 2017",
year="2017",
month="June",
pages="719--726",
publisher="Taylor & Francis Group",
address="London",
isbn="978-1-138-62937-0"
}